A feature selection–based intelligent framework for predicting maximum depth of corroded pipeline defects

H Lu, H Peng, ZD Xu, JC Matthews… - … of Performance of …, 2022 - ascelibrary.org
Corrosion is one of the most common defects of buried pipelines. Accurate prediction of the
maximum pitting depth of corroded pipelines is conducive to assessing the remaining …

[HTML][HTML] A data-driven machine learning approach for corrosion risk assessment—a comparative study

CI Ossai - Big Data and Cognitive Computing, 2019 - mdpi.com
Understanding the corrosion risk of a pipeline is vital for maintaining health, safety and the
environment. This study implemented a data-driven machine learning approach that relied …

Deeppipe: Theory-guided prediction method based automatic machine learning for maximum pitting corrosion depth of oil and gas pipeline

J Du, J Zheng, Y Liang, N Xu, Q Liao, B Wang… - Chemical Engineering …, 2023 - Elsevier
Accurate monitoring of pipeline corrosion is important and necessary not only for the normal
operation of oil and gas pipelines but also for the reliable and stable supply of energy. To …

[HTML][HTML] Predictive deep learning for pitting corrosion modeling in buried transmission pipelines

B Akhlaghi, H Mesghali, M Ehteshami… - Process Safety and …, 2023 - Elsevier
Despite significant efforts and investments in the renewable energy sector, fossil fuels
continue to provide the majority of the world's energy supply. Transmission pipelines, which …

[HTML][HTML] Predicting maximum pitting corrosion depth in buried transmission pipelines: Insights from tree-based machine learning and identification of influential factors

H Mesghali, B Akhlaghi, N Gozalpour… - Process Safety and …, 2024 - Elsevier
Pitting corrosion is a primary type of external corrosion that poses a critical challenge in the
oil and gas industry, potentially leading to severe environmental, health, and economic …

Novel data-driven framework for predicting residual strength of corroded pipelines

H Lu, ZD Xu, T Iseley, JC Matthews - Journal of Pipeline Systems …, 2021 - ascelibrary.org
For the residual strength prediction of corroded pipelines, the existing standard has a small
application range, and the finite-element method has too many assumptions. This paper …

A new hybrid algorithm model for prediction of internal corrosion rate of multiphase pipeline

S Peng, Z Zhang, E Liu, W Liu, W Qiao - Journal of Natural Gas Science …, 2021 - Elsevier
Pipeline plays an important role in the oil and gas transportation industry. In recent years,
more and more pipeline damages and breakdowns are caused by corrosion, which hurts the …

Prediction of maximum pitting corrosion depth in oil and gas pipelines

MEAB Seghier, B Keshtegar, KF Tee, T Zayed… - Engineering Failure …, 2020 - Elsevier
Avoiding failures of corroded steel structures are critical in offshore oil and gas operations.
An accurate prediction of maximum depth of pitting corrosion in oil and gas pipelines has …

A data-driven prediction model for maximum pitting corrosion depth of subsea oil pipelines using SSA-LSTM approach

X Li, M Guo, R Zhang, G Chen - Ocean Engineering, 2022 - Elsevier
Pitting corrosion is considered to be one of the most dangerous failure forms of offshore
steel structures, and corrosion depth is treated as an important indicator of corrosion …

Advanced intelligence frameworks for predicting maximum pitting corrosion depth in oil and gas pipelines

MEAB Seghier, B Keshtegar… - Process Safety and …, 2021 - Elsevier
The main objective of this paper is to develop accurate novel frameworks for the estimation
of the maximum pitting corrosion depth in oil and gas pipelines based on data-driven …